Graph and download economic data for Internet users for Canada (ITNETUSERP2CAN) from 1990 to 2023 about internet, Canada, and persons.

Canada CA: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 31.700 % in 2019. This records a decrease from the previous number of 32.500 % for 2018. Canada CA: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 33.200 % from Dec 1971 (Median) to 2019, with 43 observations. The data reached an all-time high of 37.300 % in 1971 and a record low of 31.000 % in 1989. Canada CA: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Poverty and Inequality. Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Graph and download economic data for Non-Life Insurance Premium Volume to GDP for Canada (DDDI10CAA156NWDB) from 1990 to 2020 about premium, life, Canada, insurance, and GDP.

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world's most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of about 128,000 adults in more than 120 economies. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

Northwest Territories, Yukon, and Nunavut (representing approximately 0.3 percent of the Canadian population) were excluded.

Analysis unit

Individual

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19 related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Phone surveys were not a viable option in 17 economies that had been part of previous Global Findex surveys, however, because of low mobile phone ownership and surveying restrictions. Data for these economies will be collected in 2022 and released in 2023.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Canada is 1007.

Mode of data collection

Landline and mobile telephone

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

This set of data includes listings of large value contracts awards that were executed by the World Bank Group, pursuant to its Corporate Procurement Policies and Procedures. The listing includes both fixed price an indefinite delivery / indefinite quantity (IDIQ) contracts with an estimated value above US$250,000. The value for Fixed Price contracts is disclosed at the award value. The value for IDIQ contracts is not disclosed and is based on an estimate of possible value which is $250,000 or greater. This data set does not list all contracts awarded by the World Bank Group, and should be viewed only as a guide to determine the distribution of major contract commitments made by the World Bank Group. "Supplier Country" represents place of supplier registration in the World Bank's Vendor Database, which may or not be the supplier's actual country of origin. Please note that the Corporate Procurement Unit is responsible for ensuring that procurement awards are consistent with procurement policies and procedures, while business units are accountable for the business need, expenditure policy, procurement specification and supplier selection. The information provided is believed to be accurate; however the World Bank Group is not responsible should the data be incorrect, incomplete or if data is omitted. Learn more about Corporate Procurement at https://www.worldbank.org/en/about/corporate-procurement

Graph and download economic data for Bank Deposits to GDP for Canada (DDOI02CAA156NWDB) from 2001 to 2008 about Canada, deposits, banks, depository institutions, and GDP.

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Gross fixed capital formation (% of GDP) in Canada was reported at 22.66 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Gross fixed capital formation (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Canada CA: Domestic Credit: to Private Sector by Banks: % of GDP data was reported at 124.098 % in 2008. This records an increase from the previous number of 123.534 % for 2007. Canada CA: Domestic Credit: to Private Sector by Banks: % of GDP data is updated yearly, averaging 63.305 % from Dec 1960 (Median) to 2008, with 49 observations. The data reached an all-time high of 134.121 % in 2006 and a record low of 17.970 % in 1961. Canada CA: Domestic Credit: to Private Sector by Banks: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Bank Loans. Domestic credit to private sector by banks refers to financial resources provided to the private sector by other depository corporations (deposit taking corporations except central banks), such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some countries these claims include credit to public enterprises.;International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates.;Weighted average;

The texts of the loan conditions used as raw data for this article was supplied to us by the World Bank on a confidential basis. The replication data therefore only provides our aggregated data that reproduces all the results in the publication itself. To promote replicability and to promote future research on the World Bank and its lending practices, we have reproduced the confidential raw data to the fullest extent possible by relying only on publicly available information. The data set contains the project-specific conditions attached to 1242 World Bank loan and borrowing agreements. For each of these, the data set lists the project number, project year, borrower country ISO3C code, the date of the document, the abbreviated World Bank project name, the URL to the text or PDF document, and the texts of the loan-specific conditions. The latter were extracted through a combination of quantitative text analysis and reading of the actual loan agreement documents. This data covers all the observations used in the article, with the exception of 205 projects with their conditions that the World Bank has chosen to keep confidential. Nearly all of these are from the 1980s. We encourage future research using this data. If you undertake such work, please cite the article as source.

Bank noninterest income to total income (%) in Canada was reported at 46.67 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Bank noninterest income to total income - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Bank overhead costs to total assets (%) in Canada was reported at 1.5619 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Bank overhead costs to total assets - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Cereal yield (kg per hectare) in Canada was reported at 3695 kg in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Cereal yield (kg per hectare) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Canada CA: Account: Female: % Aged 15+ data was reported at 99.196 % in 2014. This records an increase from the previous number of 97.233 % for 2011. Canada CA: Account: Female: % Aged 15+ data is updated yearly, averaging 98.215 % from Dec 2011 (Median) to 2014, with 2 observations. The data reached an all-time high of 99.196 % in 2014 and a record low of 97.233 % in 2011. Canada CA: Account: Female: % Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Banking Indicators. Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (female, % age 15+). [ts: data are available for multiple waves].; ; Demirguc-Kunt et al., 2015, Global Financial Inclusion Database, World Bank.; Weighted average;

Canada CA: Account: Income: Poorest 40%: % Aged 15+ data was reported at 98.384 % in 2014. This records an increase from the previous number of 92.982 % for 2011. Canada CA: Account: Income: Poorest 40%: % Aged 15+ data is updated yearly, averaging 95.683 % from Dec 2011 (Median) to 2014, with 2 observations. The data reached an all-time high of 98.384 % in 2014 and a record low of 92.982 % in 2011. Canada CA: Account: Income: Poorest 40%: % Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Banking Indicators. Denotes the percentage of respondents who report having an account (by themselves or together with someone else). For 2011, this can be an account at a bank or another type of financial institution, and for 2014 this can be a mobile account as well (see year-specific definitions for details) (income, poorest 40%, % age 15+). [ts: data are available for multiple waves].; ; Demirguc-Kunt et al., 2015, Global Financial Inclusion Database, World Bank.; Weighted average;

Cross-border dep. with BIS banks, nonbanks in Canada was reported at 125446082000 in 2025, according to the World Bank collection of development indicators, compiled from officially recognized sources. Canada - Cross-border dep. with BIS banks, nonbanks - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Since 2003, the World Bank publishes the Ease of Doing Business (EDB) Index aimed at measuring the regulatory efficiency and institutional quality of key processes that affect the business environment in a given economy. While highly influential, particularly in the developing world, the EDB has also been faced with criticism and at times controversies. In 2020, the World Bank decided to interrupt temporarily the publication of the EDB report as a result of an audit that revealed politically motivated manipulation of EDB rankings.

Graph and download economic data for Bank's Cost to Income Ratio for Canada (DDEI07CAA156NWDB) from 2000 to 2021 about ratio, Canada, expenditures, income, banks, and depository institutions.

The Gross Domestic Product (GDP) in Canada was worth 2241.25 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Canada represents 2.11 percent of the world economy. This dataset provides - Canada GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Canada CA: Exports: High-Income Economies: % of Total Goods Exports data was reported at 90.649 % in 2023. This records a decrease from the previous number of 90.831 % for 2022. Canada CA: Exports: High-Income Economies: % of Total Goods Exports data is updated yearly, averaging 92.310 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 96.772 % in 1999 and a record low of 89.479 % in 2020. Canada CA: Exports: High-Income Economies: % of Total Goods Exports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Exports. Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;